E: kevinyaowork [at] gmail.com

I’m a research scientist at ByteDance AI Lab working on fairness, transparency, security, and privacy in machine learning systems.

I obtained my Ph.D. in Computer Science from University of Chicago, advised by Prof. Ben Zhao and Prof. Heather Zheng. Previously I received three B.S. degrees in Computer Science, Mathematics, and Statistics from University of Minnesota-Twin Cities.

I interned at Google with security and ads team. I received Siebel Scholarship.

I publish papers in top conferences like IEEE S&P, CCS, USENIX Security, MobiSys, IMC, and WWW. My work is covered by a number of mainstream media outlets, e.g. WIRED, Business Insider, Scientific American, Forbes, Fortune, The Verge, Engadget, New York Post, and Nvidia etc.

Experience

 
 
 
 
 
Research Scientist
ByteDance AI Lab
Sep 2020 – Present Mountain View, California
 
 
 
 
 
Intern
Google
Jun 2018 – Sep 2018 Sunnyvale, California
 
 
 
 
 
PhD Student
Univeristy of Chicago
Sep 2017 – Aug 2020 Chicago, Illinois
 
 
 
 
 
Intern
Google
Jun 2017 – Sep 2017 Mountain View, California
 
 
 
 
 
PhD Student
University of California, Santa Barbara
Sep 2015 – Jun 2017 Santa Barbara, California
 
 
 
 
 
Intern
IBM
Jun 2013 – May 2014 Princeton, NJ

Publications